Intelligent high-speed sensing early warning system

Abstract

The utility model relates to an intelligent high-speed sensing early warning system which comprises a road condition monitoring device, a vehicle condition monitoring device, an LED early warning lamp device, an Internet of Things controller and a server. The utility model aims to provide the intelligent high-speed sensing and early warning system, which can sense the running condition of vehicles on a highway and the road condition at low cost and report the information to a traffic control department and linkage equipment at the first time to warn vehicles coming behind when an accident occurs. After a microcontroller unit D of the Internet of Things controller receives alarm information, the Internet of Things controller automatically controls an LED early warning lamp device electrically connected with the microcontroller unit D to respond to early warning in real time according to the alarm information, and meanwhile, the alarm information, GNSS position information and an equipment number are added into a data packet and reported to a server through a wireless communication module. And the server synchronizes the alarm information to a traffic management platform and dials an early warning call to a specified worker, so that the whole-section sensing early warning of the expressway is finally and really realized, and the occurrence of expressway accidents is reduced.

Description

Technical Field

[0001] The utility model relates to an intelligent highway perception and early warning system, in particular to an intelligent highway perception and early warning system. Background Art

[0002] Driving on highways can lead to various emergencies, such as traffic accidents, vehicle breakdowns, vehicles driving the wrong way, road collapses, or landslides. Because many existing highways lack advanced sensing and warning technologies, drivers rely primarily on their vision and reflexes to respond to these emergencies. Especially at night or in inclement weather conditions (such as heavy rain or dense fog), reduced visibility can make it difficult for drivers to detect and avoid obstacles ahead, increasing the risk of a chain reaction. Furthermore, traffic management departments often rely on alerts from the parties involved to learn of such incidents and review surveillance footage to confirm the situation. Even if relevant departments can respond quickly after receiving an alert, arriving at the scene still takes time. During this time, it is difficult to effectively warn subsequent vehicles approaching the scene, which also increases the possibility of secondary accidents.

[0003] Existing technologies for identifying vehicle status on highways often use camera-based visual recognition technology, which analyzes video streams to determine the vehicle's operating status. However, this approach has several limitations, including low recognition accuracy, high computational resource consumption, and difficulty operating effectively in adverse weather conditions (such as rain or fog). In recent years, some new technical solutions have begun to explore ways to improve recognition performance by combining radar and vision systems (i.e., "radar-visual fusion"). This fusion technology can, to a certain extent, overcome the shortcomings of a single vision system, especially by providing more reliable vehicle detection in low-visibility environments. However, the construction cost of a radar-visual fusion system is high, and the accuracy requirements of the radar and camera are also higher. In addition, since many highways do not yet have full monitoring coverage, the application of this technology is limited.

[0004] Currently, most highway cameras do not yet have real-time visual recognition capabilities, and surveillance cameras have yet to achieve full road coverage. Utility Model Content

[0005] The purpose of this utility model is to provide an intelligent highway perception and warning system, which can realize the perception of the vehicle operation status and road conditions on the highway at a low cost, and report to the traffic management department and the linkage equipment in the first time when an accident occurs to warn the rear vehicles.

[0006] The purpose of the utility model is achieved through the following technical solutions: a smart highway perception warning system, including a road condition monitoring device, a vehicle condition monitoring device, an LED warning light device, an Internet of Things controller and a server;

[0007] The road condition monitoring device includes a road condition monitoring node arranged on the guardrail posts or beams on both sides of the highway, wherein the road condition monitoring node is provided with a microcontroller unit A, and the microcontroller unit A is electrically connected to a high-precision attitude sensor unit and a communication unit A;

[0008] The vehicle condition monitoring device includes a vehicle condition monitoring node installed on the poles on both sides of the highway, and a microcontroller unit B is provided in the vehicle condition monitoring node. The microcontroller unit B is connected to a millimeter wave radar unit with a high-sensitivity vehicle movement state sensing function and a communication unit B;

[0009] The LED warning light device includes an LED warning light node installed on the poles on both sides of the highway. The LED warning light node is provided with a microcontroller unit C. The microcontroller unit C is connected to an LED drive circuit unit and a communication unit C. The LED drive circuit unit is electrically connected to a multi-color discrete LED light array.

[0010] The IoT controller includes a host housing and a solar power supply unit arranged on poles on both sides of the highway. A microcontroller unit D is arranged in the host housing. The microcontroller unit D is connected to a wireless communication module, a GNSS module and a communication module D;

[0011] The communication module D is connected to the communication unit A and is used to receive abnormal information identified by the high-precision attitude sensor unit; the communication module D is connected to the communication unit B and is used to receive abnormal information identified by the millimeter-wave radar unit; the communication module D is connected to the communication unit C and is used to send alarm information to the microcontroller unit C and control the operation of the LED light array;

[0012] The IoT controller is connected to the server via a wireless communication module and is used to send alarms and location information to the server.

[0013] Furthermore, the road condition monitoring device includes several road condition monitoring nodes, which are arranged at intervals along the extension direction of the guardrail and are electrically connected to each other. Multiple road condition monitoring nodes on the same section of guardrail are connected to the Internet of Things controller on the corresponding pole.

[0014] Furthermore, a charge and discharge control panel is provided in the solar power supply unit, and the charge and discharge control panel is electrically connected to the monocrystalline silicon solar panel and the lithium battery pack.

[0015] Furthermore, the communication unit A, communication unit B, communication unit C and communication module D are RS485 communication modules.

[0016] Furthermore, the road condition monitoring node, vehicle condition monitoring node, LED warning light node and Internet of Things controller are all provided with RJ45 network port connectors.

[0017] Furthermore, the RJ45 network port connectors are connected via an eight-core twisted pair cable.

[0018] Compared with the existing technology, the advantages of the present invention are: the present invention includes a road condition monitoring device, a vehicle condition monitoring device, an LED warning light device, an Internet of Things controller and a server. The road condition monitoring device and the vehicle condition monitoring device are used to monitor road conditions and vehicle condition information respectively. When the microcontroller unit D of the Internet of Things controller receives the alarm information, the Internet of Things controller automatically controls the LED warning light device electrically connected to it to respond to the warning in real time according to the alarm information, and at the same time adds the alarm information, GNSS location information and device number to the data packet, reports it to the server through the wireless communication module, and the server synchronizes the alarm information to the traffic management platform and calls the designated staff for warning, ultimately truly realizing the perception and warning of the entire section of the highway and reducing the occurrence of highway accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a structural diagram of an embodiment of an intelligent high-speed perception and warning system of the utility model.

[0020] Figure 2 This is the hardware composition diagram of the intelligent highway perception and warning system.

[0021] Figure 3 This is the module connection block diagram of the intelligent highway perception and warning system.

[0022] Explanation of the numbers: 1 road condition monitoring node, 2 vehicle condition monitoring node, 3 LED warning light node, 4 host housing, 5 solar power supply unit. DETAILED DESCRIPTION

[0023] The present invention is described in detail below with reference to the accompanying drawings and embodiments:

[0024] like Figure 1-3 Shown is a schematic diagram of an embodiment of an intelligent high-speed perception warning system provided by the present utility model.

[0025] A smart highway perception and warning system, including a road condition monitoring device, a vehicle condition monitoring device, an LED warning light device, an Internet of Things controller and a server;

[0026] The road condition monitoring device includes a road condition monitoring node 1 arranged on the guardrail posts or beams on both sides of the highway, wherein the road condition monitoring node 1 is provided with a microcontroller unit A, and the microcontroller unit A is electrically connected to a high-precision attitude sensor unit and a communication unit A;

[0027] The road condition monitoring device includes several road condition monitoring nodes 1, which are arranged at intervals along the extension direction of the guardrail and are electrically connected to each other. Multiple road condition monitoring nodes 1 on the same section of guardrail are connected to the Internet of Things controller on the corresponding pole.

[0028] Communication and power supply between road condition monitoring nodes are connected using RJ45 network port connector A and eight-core twisted pair cable. Each road condition monitoring node is equipped with two RJ45 network port connectors A (IN and OUT), thereby realizing electrical connection between multiple road condition monitoring nodes and between road condition monitoring nodes and IoT controllers.

[0029] The road condition monitoring device is equipped with a high-precision attitude sensor unit that can monitor the road condition and attitude information on both sides of the highway in real time. When the attitude sensor unit identifies an abnormal situation such as a road collapse, landslide, or vehicle collision, microcontroller unit A sends an alarm message to the IoT controller via RS485 communication unit A. After receiving the alarm message, the IoT controller automatically controls the LED warning light device electrically connected to it based on the alarm message to respond to the warning in real time. At the same time, the IoT controller adds the alarm information, GNSS location information, and device number to the data packet and reports it to the server via the wireless communication module. The server synchronizes the alarm information to the traffic management platform and dials the warning phone number to the designated staff. After receiving the alarm message, the traffic management staff reviews the alarm information through the traffic management platform (server) and automatically or manually controls the LED warning light device electrically connected to the IoT controller on a certain distance from the incident to respond to the warning instruction. At the same time, traffic police can also respond to the alarm information in a timely manner.

[0030] After the alarm information is reviewed, the traffic management platform automatically controls the LED warning light devices electrically connected to the Internet of Things controllers at a certain distance in front of the accident site to respond to the preset warning instructions according to the severity of the alarm information; manual control can more finely control the LED warning light devices electrically connected to the Internet of Things controllers in specific sections of the road to respond to the preset warning instructions in batches.

[0031] The server will generate a visual road condition alarm legend based on the reported device number, GNSS location information, and alarm information.

[0032] The vehicle condition monitoring device includes a vehicle condition monitoring node 2 installed on the poles on both sides of the highway, and a microcontroller unit B is provided in the vehicle condition monitoring node 2. The microcontroller unit B is connected to a millimeter wave radar unit with a high-sensitivity vehicle movement state sensing function and a communication unit B;

[0033] By default, one IoT controller is connected to one vehicle condition monitoring node, providing coverage within a 100-meter radius. For some special road sections, a multi-vehicle condition monitoring node solution can be adopted, meaning one IoT controller is connected to multiple vehicle condition monitoring nodes.

[0034] Communication and power supply between vehicle condition monitoring nodes are connected using RJ45 network port connector B and eight-core twisted pair cables. Each vehicle condition monitoring node is equipped with two RJ45 network port connectors B (IN and OUT), thereby achieving electrical connection between multiple vehicle condition monitoring nodes and between the vehicle condition monitoring node and the IoT controller.

[0035] The vehicle condition monitoring device is equipped with a millimeter-wave radar unit with high-sensitivity vehicle movement status sensing function. It accurately measures the distance, direction, speed and direction of all vehicle targets at near, medium and long distances in the detection area, thereby sensing the vehicle conditions on the highway.

[0036] When the millimeter-wave radar unit identifies an abnormal situation such as a vehicle illegally parked, involved in a traffic accident, driving at low speed, or driving against the flow of traffic, it sends an alarm message to the IoT controller via microcontroller unit B using RS485 communication unit B. Upon receiving the alarm message, the IoT controller automatically controls the LED warning light device electrically connected to it based on the alarm message, responding to the warning in real time. The IoT controller also adds the alarm message, GNSS location information, and device number to the data packet, which is then reported to the server via the wireless communication module. The server synchronizes the alarm message to the traffic management platform and places an alarm call to designated staff. Upon receiving the alarm message, traffic management staff review the alarm message through the traffic management platform (server) and automatically or manually control the LED warning light devices on a certain road section in front of the accident site to respond to the warning instruction. Traffic police can also respond to the alarm message promptly.

[0037] If a vehicle is illegally parked or involved in a traffic accident, the millimeter-wave radar will detect that the vehicle's speed is 0 km / h, and at the same time locate the distance and direction of the vehicle from the monitoring point, and then determine the specific location of the illegal parking of the vehicle (middle of the road, emergency lane, collision with guardrail, etc.); when driving at low speed, the millimeter-wave radar will trigger an early warning when it detects that the vehicle's speed is lower than the prescribed speed; when driving in the opposite direction, the millimeter-wave radar will trigger an early warning when it detects that the vehicle's moving direction is inconsistent with the current lane setting direction.

[0038] The server will fuse data from multiple devices based on the reported device number, GNSS location information, and alarm information to generate a visual vehicle condition alarm legend.

[0039] The LED warning light device includes an LED warning light node 3 arranged on the poles on both sides of the highway. The LED warning light node 3 is provided with a microcontroller unit C. The microcontroller unit C is connected to an LED drive circuit unit and a communication unit C. The LED drive circuit unit is electrically connected to a multi-color discrete LED light array.

[0040] The communication and power supply between LED warning light nodes are connected by RJ45 network port connector C and eight-core twisted pair cable. Each LED warning light node is equipped with two RJ45 network port connectors C (IN and OUT), thereby realizing the electrical connection between multiple LED warning light nodes and between LED warning light nodes and IoT controllers.

[0041] The LED warning light node features a multi-color, discrete LED array to indicate different levels of warning status. When an alarm is triggered, the LED warning light's microcontroller unit C receives a warning command from the microcontroller unit D in the IoT controller. Microcontroller unit C then controls the LED driver circuit to illuminate the corresponding LED array, alerting oncoming vehicles to the incident ahead. (For example: Red light indicates a serious accident ahead, please slow down and stop; Yellow light indicates an accident ahead, please slow down and pay attention to road conditions; Green light indicates the alarm is lifted and the road is back to normal.)

[0042] The IoT controller includes a host housing 4 and a solar power supply unit 5 arranged on the poles on both sides of the highway. A microcontroller unit D is arranged in the host housing 4. The microcontroller unit D is connected to a wireless communication module, a GNSS module and a communication module D;

[0043] The IoT controller is equipped with multiple RJ45 network port connectors D for connecting to the road condition monitoring device, vehicle condition monitoring device, and LED warning light device for passage and power supply.

[0044] The communication module D is connected to the communication unit A and is used to receive abnormal information identified by the high-precision attitude sensor unit; the communication module D is connected to the communication unit B and is used to receive abnormal information identified by the millimeter-wave radar unit; the communication module D is connected to the communication unit C and is used to send alarm information to the microcontroller unit C and control the operation of the LED light array;

[0045] The IoT controller is connected to the server via a wireless communication module and is used to send alarms and location information to the server.

[0046] The solar power supply unit 5 is provided with a charge and discharge control panel, which is electrically connected to the monocrystalline silicon solar panel and the lithium battery pack.

[0047] The hardware composition of this utility model:

[0048] The road condition monitoring device includes a posture sensor, a microcontroller unit, a DC-DC step-down module, a protection circuit, an RS485 communication module, and an RJ45 network port connector;

[0049] The vehicle condition monitoring device includes a millimeter-wave radar module, a microcontroller unit, a DC-DC step-down module, a protection circuit, an RS485 communication module, and an RJ45 network port connector;

[0050] The LED warning light device includes a multi-color LED light array, an LED drive circuit, a microcontroller unit, a DC-DC step-down module, a protection circuit, an RS485 communication module, and an RJ45 network port connector;

[0051] The IoT controller part includes a microcontroller unit, a wireless communication module, a GNSS module, a DC-DC step-down module, a protection circuit, a solar power supply unit, an RS485 communication module, and an RJ45 network port connector.

Claims

1. An intelligent highway perception and warning system, characterized by: Including road condition monitoring device, vehicle condition monitoring device, LED warning light device, Internet of Things controller and server; The road condition monitoring device comprises a road condition monitoring node (1) arranged on guardrail posts or beams on both sides of the highway, wherein a microcontroller unit A is provided in the road condition monitoring node (1), and a high-precision attitude sensor unit and a communication unit A are electrically connected to the microcontroller unit A; The vehicle condition monitoring device comprises a vehicle condition monitoring node (2) arranged on poles on both sides of the highway, wherein the vehicle condition monitoring node (2) is provided with a microcontroller unit B, and the microcontroller unit B is connected to a millimeter wave radar unit with a high-sensitivity vehicle movement state sensing function and a communication unit B; The LED warning light device comprises an LED warning light node (3) arranged on poles on both sides of the highway, wherein a microcontroller unit C is provided in the LED warning light node (3), an LED driving circuit unit and a communication unit C are connected to the microcontroller unit C, and the LED driving circuit unit is electrically connected to a multi-color discrete LED light emitting array; The Internet of Things controller comprises a host housing (4) and a solar power supply unit (5) arranged on poles on both sides of the highway, wherein a microcontroller unit D is arranged in the host housing (4), and the microcontroller unit D is connected to a wireless communication module, a GNSS module and a communication module D; The communication module D is connected to the communication unit A and is used to receive abnormal information identified by the high-precision attitude sensor unit; the communication module D is connected to the communication unit B and is used to receive abnormal information identified by the millimeter-wave radar unit; the communication module D is connected to the communication unit C and is used to send alarm information to the microcontroller unit C and control the operation of the LED light array; The IoT controller is connected to the server via a wireless communication module and is used to send alarms and location information to the server.

2. The intelligent highway perception warning system according to claim 1 is characterized by: The road condition monitoring device comprises a plurality of road condition monitoring nodes (1), each of which is arranged at intervals along the extension direction of the guardrail, and the road condition monitoring nodes (1) are electrically connected to each other, and the plurality of road condition monitoring nodes (1) on the same section of the guardrail are all connected to the Internet of Things controller on the corresponding upright pole.

3. The intelligent highway perception warning system according to claim 1 is characterized by: The solar power supply unit (5) is provided with a charge and discharge control panel, which is electrically connected to the monocrystalline silicon solar panel and the lithium battery pack.

4. The intelligent highway perception warning system according to claim 1 is characterized by: The communication unit A, the communication unit B, the communication unit C and the communication module D are RS485 communication modules.

5. The intelligent highway perception warning system according to claim 1 is characterized by: The road condition monitoring node (1), the vehicle condition monitoring node (2), the LED warning light node (3) and the Internet of Things controller are all provided with RJ45 network port connectors.

6. The intelligent highway perception warning system according to claim 5 is characterized by: The RJ45 network port connectors are connected via eight-core twisted-pair cables.

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